首页> 美国卫生研究院文献>Taylor Francis Open Select >The role of dose rate in radiation cancer risk: evaluating the effect of dose rate at the molecular cellular and tissue levels using key events in critical pathways following exposure to low LET radiation
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The role of dose rate in radiation cancer risk: evaluating the effect of dose rate at the molecular cellular and tissue levels using key events in critical pathways following exposure to low LET radiation

机译:剂量率在放射线癌症风险中的作用:暴露于低LET辐射后通过关键途径中的关键事件评估分子细胞和组织水平上剂量率的影响

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摘要

>Purpose: This review evaluates the role of dose rate on cell and molecular responses. It focuses on the influence of dose rate on key events in critical pathways in the development of cancer. This approach is similar to that used by the U.S. EPA and others to evaluate risk from chemicals. It provides a mechanistic method to account for the influence of the dose rate from low-LET radiation, especially in the low-dose region on cancer risk assessment. Molecular, cellular, and tissues changes are observed in many key events and change as a function of dose rate. The magnitude and direction of change can be used to help establish an appropriate dose rate effectiveness factor (DREF). >Conclusions: Extensive data on key events suggest that exposure to low dose-rates are less effective in producing changes than high dose rates. Most of these data at the molecular and cellular level support a large (2–30) DREF. In addition, some evidence suggests that doses delivered at a low dose rate decrease damage to levels below that observed in the controls. However, there are some data human and mechanistic data that support a dose-rate effectiveness factor of 1. In summary, a review of the available molecular, cellular and tissue data indicates that not only is dose rate an important variable in understanding radiation risk but it also supports the selection of a DREF greater than one as currently recommended by ICRP () and BEIR VII (NRC/NAS ).
机译:>目的:本评价评估剂量率对细胞和分子反应的作用。它关注剂量率对癌症发展关键途径中关键事件的影响。此方法类似于美国EPA和其他机构用于评估化学品风险的方法。它提供了一种机械方法来说明低LET辐射剂量率的影响,尤其是在低剂量区域对癌症风险评估的影响。在许多关键事件中观察到分子,细胞和组织的变化,并且这些变化是剂量率的函数。变化的大小和方向可用于帮助建立适当的剂量率有效因子(DREF)。 >结论:关于关键事件的大量数据表明,与高剂量相比,暴露于低剂量率下产生变化的效果较差。这些在分子和细胞水平上的数据大多数都支持较大的(2–30)DREF。另外,一些证据表明以低剂量率递送的剂量将损伤降低至低于对照中观察到的水平。但是,有些人和机械数据支持剂量率有效性因子1。总而言之,对可用分子,细胞和组织数据的回顾表明,剂量率不仅是理解辐射风险的重要变量,而且还是重要的变量。它还支持选择ICRP( )和BEIR VII(NRC / NAS )当前建议的大于1的DREF。

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